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an increase in the number of particles, but at the expense of increased computational complexity The basic PSO also fails another important objective of niching algorithms, namely to maintain niches If the search process is allowed to continue, more particles converge to the global best position in the process to reach an equilibrium, mainly due to the social component (as explained above) Emanating from the discussion in this section, it is desirable to rather adapt the basic PSO with true speciation abilities One such algorithm, the NichePSO is described next The NichePSO was developed to nd multiple solutions to general multi-modal problems [89, 88, 91] The basic operating principle of NichePSO is the self-organization of particles into independent sub-swarms Each sub-swarm locates and maintains a niche Information exchange is only within the boundaries of a sub-swarm No information is exchanged between sub-swarms This independency among sub-swarms allows sub-swarms to maintain niches To emphasize: each sub-swarm functions as a stable, individual swarm, evolving on its own, independent of individuals in other swarms The NichePSO starts with one swarm, referred to as the main swarm, containing all particles As soon as a particle converges on a potential solution, a sub-swarm is created by grouping together particles that are in close proximity to the potential solution These particles are then removed from the main swarm, and continue within their sub-swarm to re ne (and to maintain) the solution Over time, the main swarm shrinks as sub-swarms are spawned from it NichePSO is considered to have converged when sub-swarms no longer improve the solutions that they represent The global best position from each ub-swarm is then taken as an optimum (solution) The NichePSO is summarized in Algorithm 1615 The di erent steps of the algorithm are explained in more detail in the following sections Algorithm 1615 NichePSO Algorithm Create and initialize a nx -dimensional main swarm, S; repeat Train the main swarm, S, for one iteration using the cognition-only model; Update the tness of each main swarm particle, Sxi ; for each sub-swarm Sk do Train sub-swarm particles, Sk xi , using a full model PSO; Update each particle s tness; Update the swarm radius Sk R; endFor If possible, merge sub-swarms; Allow sub-swarms to absorb any particles from the main swarm that moved into the sub-swarm; If possible, create new sub-swarms; until stopping condition is true; y Return Sk for each sub-swarm Sk as a solution;.

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If multiple bottoms take place over a long timeframe, that s often a strong indication that the bottom is so widely respected as to be almost impenetrable. Let s turn our attention to symbol AEM, captured in Figure 11.29. The stock hit a low of $2.50 in late 1975 and the autumn of 1976. There was about a nine-month gap between these two events. If, with all the gyrations of the stock market, a stock can hold rm at a given level after having suffered through a lot of selling pressure, prospects are good for this stock. The other bene t is that you have a very clean stop-loss point: should the stock break beneath the support zone (in this instance, $2.50), you would immediately exit the position and move on. No such stop-order would have been executed for a long position in this stock, however, which enjoyed many strong years after this double bottom was complete. There are even a few rare instances where huge amounts of time decades, even can serve as af rmations of a strong support level. American Airlines, known as AMR Corporation (symbol AMR) was a. using barcode printer for vs .net control to generate .Related: Generate ITF-14 ASP.NET , .NET WinForms Code 39 Generator , ISBN Generator Java

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This works as expected Our new subtypes hold the additional information necessary for rendering through RenderMan The Open Inventor base class still allows us to render simultaneously through OpenGL Things go awry with the need to extend our support to shadows In RenderMan, a spotlight and a directional light support casting the shadows (we call these shadow-capable light sources [SCLS]); a point light does not The general algorithm requires that we iterate through all the light sources within the scene and generate a shadow map for each SCLS that is turned on The problem is that the lights are stored within the scene graph as polymorphic SoLight objects Although we can encapsulate the common data and necessary operations in an SCLS class, it is not clear how to hook the class into the existing Open Inventor hierarchy There is no workable position within the pen Inventor SoLight subtree to derive the SCLS class singly so that both the SdRiSpotLight and the SdRiDirectionalLight can subsequently inherit from it Without multiple inheritance, the best we can do is to compose each SCLS category light with an SCLS member class object and a method to invoke the appropriate operation:. 39 Maker In Java Using Barcode drawer for .Related: UPC-A Generating ASP.NET , Print QR Code ASP.NET , ISBN Generator VB.NET

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KA.Barcode Generator for .NET Suite is a professional QR Code encoder omponent SDK library, which allows developers to add bidimensional QR Code barcoding feature into .NET projects using Visual Basic .NET Suite is a professional QR Code encoder component SDK library, which allows developers to add bidimensional QR Code barcoding feature into .NET projects using Visual Basic .NET programming . t is easy to be integrated into .NET development environments.Related: Printing Barcode ASP.NET C# , Barcode Generation Crystal , Excel Barcode Generation

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